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Diffstat (limited to 'silx/opencl/test/test_backprojection.py')
| -rw-r--r-- | silx/opencl/test/test_backprojection.py | 165 |
1 files changed, 165 insertions, 0 deletions
diff --git a/silx/opencl/test/test_backprojection.py b/silx/opencl/test/test_backprojection.py new file mode 100644 index 0000000..342bd2f --- /dev/null +++ b/silx/opencl/test/test_backprojection.py @@ -0,0 +1,165 @@ +#!/usr/bin/env python +# coding: utf-8 +# /*########################################################################## +# +# Copyright (c) 2016 European Synchrotron Radiation Facility +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. +# +# ###########################################################################*/ +"""Test of the filtered backprojection module""" + +from __future__ import division, print_function + +__authors__ = ["Pierre paleo"] +__license__ = "MIT" +__copyright__ = "2013-2017 European Synchrotron Radiation Facility, Grenoble, France" +__date__ = "05/10/2017" + + +import time +import logging +import numpy +import unittest +try: + import mako +except ImportError: + mako = None +from ..common import ocl +if ocl: + from .. import backprojection +from silx.test.utils import utilstest + +logger = logging.getLogger(__name__) + + +def generate_coords(img_shp, center=None): + """ + Return two 2D arrays containing the indexes of an image. + The zero is at the center of the image. + """ + l_r, l_c = float(img_shp[0]), float(img_shp[1]) + R, C = numpy.mgrid[:l_r, :l_c] + if center is None: + center0, center1 = l_r / 2., l_c / 2. + else: + center0, center1 = center + R = R + 0.5 - center0 + C = C + 0.5 - center1 + return R, C + + +def clip_circle(img, center=None, radius=None): + """ + Puts zeros outside the inscribed circle of the image support. + """ + R, C = generate_coords(img.shape, center) + M = R * R + C * C + res = numpy.zeros_like(img) + if radius is None: + radius = img.shape[0] / 2. - 1 + mask = M < radius * radius + res[mask] = img[mask] + return res + + +@unittest.skipUnless(ocl and mako, "PyOpenCl is missing") +class TestFBP(unittest.TestCase): + + def setUp(self): + if ocl is None: + return + # ~ if sys.platform.startswith('darwin'): + # ~ self.skipTest("Backprojection is not implemented on CPU for OS X yet") + self.getfiles() + self.fbp = backprojection.Backprojection(self.sino.shape, profile=True) + if self.fbp.compiletime_workgroup_size < 16: + self.skipTest("Current implementation of OpenCL backprojection is not supported on this platform yet") + + def tearDown(self): + self.sino = None +# self.fbp.log_profile() + self.fbp = None + + def getfiles(self): + # load sinogram of 512x512 MRI phantom + self.sino = numpy.load(utilstest.getfile("sino500.npz"))["data"] + # load reconstruction made with ASTRA FBP (with filter designed in spatial domain) + self.reference_rec = numpy.load(utilstest.getfile("rec_astra_500.npz"))["data"] + + def measure(self): + "Common measurement of timings" + t1 = time.time() + try: + result = self.fbp.filtered_backprojection(self.sino) + except RuntimeError as msg: + logger.error(msg) + return + t2 = time.time() + return t2 - t1, result + + def compare(self, res): + """ + Compare a result with the reference reconstruction. + Only the valid reconstruction zone (inscribed circle) is taken into + account + """ + res_clipped = clip_circle(res) + ref_clipped = clip_circle(self.reference_rec) + delta = abs(res_clipped - ref_clipped) + bad = delta > 1 +# numpy.save("/tmp/bad.npy", bad.astype(int)) + logger.debug("Absolute difference: %s with %s outlier pixels out of %s", delta.max(), bad.sum(), numpy.prod(bad.shape)) + return delta.max() + + @unittest.skipUnless(ocl and mako, "pyopencl is missing") + def test_fbp(self): + """ + tests FBP + """ + # Test single reconstruction + # -------------------------- + t, res = self.measure() + if t is None: + logger.info("test_fp: skipped") + else: + logger.info("test_backproj: time = %.3fs" % t) + err = self.compare(res) + msg = str("Max error = %e" % err) + logger.info(msg) + # TODO: cannot do better than 1e0 ? + # The plain backprojection was much better, so it must be an issue in the filtering process + self.assertTrue(err < 1., "Max error is too high") + # Test multiple reconstructions + # ----------------------------- + res0 = numpy.copy(res) + for i in range(10): + res = self.fbp.filtered_backprojection(self.sino) + errmax = numpy.max(numpy.abs(res - res0)) + self.assertTrue(errmax < 1.e-6, "Max error is too high") + + +def suite(): + testSuite = unittest.TestSuite() + testSuite.addTest(TestFBP("test_fbp")) + return testSuite + + +if __name__ == '__main__': + unittest.main(defaultTest="suite") |